• DocumentCode
    28055
  • Title

    Extracting Social Semantics from Multimodal Meeting Content

  • Author

    Yu, Zhiwen ; Zhou, Xingshe ; Nakamura, Yuichi

  • Author_Institution
    Northwestern Polytechnical University
  • Volume
    12
  • Issue
    2
  • fYear
    2013
  • fDate
    April-June 2013
  • Firstpage
    68
  • Lastpage
    75
  • Abstract
    Extracting social semantics from multimodal meeting content can help meeting participants, organizers, and sponsors better understand the social dynamics of exchanging information. The authors present a framework for extracting both low-level (individual) and high-level (group) semantics.
  • Keywords
    Data mining; Feature extraction; Human factors; Semantics; Social factors; Speech recognition; Support vector machines; Data mining; Feature extraction; Human factors; Semantics; Social factors; Speech recognition; Support vector machines; data mining; human interaction; meeting; multimodal; social semantics;
  • fLanguage
    English
  • Journal_Title
    Pervasive Computing, IEEE
  • Publisher
    ieee
  • ISSN
    1536-1268
  • Type

    jour

  • DOI
    10.1109/MPRV.2012.55
  • Filename
    6253196
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=28055